Google tells BigQuery is complementary to Dataflow. Developers can use Dataflow as a part of the data ingestions into BigQuery, for example, by preparing or filtering the data for BigQuery.

Along with new features for its Google BigQuery cloud analytics platform, the company's Cloud Dataflow managed data-processing service is now available in beta. Written by Toby Wolpe, Contributor ...

Google is touting a "NoOps" philosophy for cloud-centric big data processing that abstracts IT away from infrastructure through an auto-scaling platform that optimizes infrastructure consumption.

Using Google Cloud Dataflow, Google’s native serverless ETL (extract, transform, load) service, new integrations allow customers to quickly and securely ingest data directly into their Elastic ...

After four months in beta, Google’s Cloud Dataflow services are now generally available to enterprise users, making it easier for them to create big data applications using simple programming ...

Google Cloud Dataprep ELT Solution for BigQuery Sees Significant Adoption, Adding More Than 500 Customers & Processing Over 10 Trillion Rows of Data in the Last Six Months ...

Google Cloud Next 2022 news includes new Google products and cloud services for cybersecurity, AI, VMs, Chronicle, BigQuery and Workspace.

While Cloud Dataflow is new, BigQuery has now been around since 2010. Starting today, however, its users can also host their data in Google’s European data centers.